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PROCESSING FUNDUS CAMERA IMAGES USING MACHINE LEARNING MODELS TRAINED USING OTHER MODALITIES
PROCESSING FUNDUS CAMERA IMAGES USING MACHINE LEARNING MODELS TRAINED USING OTHER MODALITIES
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机译:使用使用其他方式培训的机器学习模型加工眼底相机图像
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摘要
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a fundus image processing machine learning models that is configured to process one or more fundus images captured by a fundus camera to generate a predicted label. One of the methods includes generating training data, comprising: receiving sets of one or more training fundus images captured by a fundus camera; receiving, for each of the sets, a ground truth label assigned to a different image of the eye of the patient corresponding to the set that has been captured using a different imaging modality; and generating, for each set of training fundus images, a training example that includes the set of training fundus images in association with the ground truth label assigned to the different image of the patient's eye; and training the machine learning model on the training examples in the training data.
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